A roadmap to reduce information inequities in disability with digital health and natural language processing

DR Newman-Griffis, MB Hurwitz… - PLOS Digital …, 2022 - journals.plos.org
People with disabilities disproportionately experience negative health outcomes. Purposeful
analysis of information on all aspects of the experience of disability across individuals and …

Improving broad-coverage medical entity linking with semantic type prediction and large-scale datasets

S Vashishth, D Newman-Griffis, R Joshi, R Dutt… - Journal of biomedical …, 2021 - Elsevier
Objectives Biomedical natural language processing tools are increasingly being applied for
broad-coverage information extraction—extracting medical information of all types in a …

Ambiguity in medical concept normalization: An analysis of types and coverage in electronic health record datasets

D Newman-Griffis, G Divita, B Desmet… - Journal of the …, 2021 - academic.oup.com
Objectives Normalizing mentions of medical concepts to standardized vocabularies is a
fundamental component of clinical text analysis. Ambiguity—words or phrases that may refer …

Identification and use of frailty indicators from text to examine associations with clinical outcomes among patients with heart failure

Y Shao, AF Mohanty, A Ahmed… - AMIA Annual …, 2017 - pmc.ncbi.nlm.nih.gov
Frailty is an important health outcomes indicator and valuable for guiding healthcare
decisions in older adults, but is rarely collected in a quantitative, systematic fashion in …

[HTML][HTML] A comprehensive study of mobility functioning information in clinical notes: entity hierarchy, corpus annotation, and sequence labeling

T Thieu, JC Maldonado, PS Ho, M Ding, A Marr… - International journal of …, 2021 - Elsevier
Abstract Background Secondary use of Electronic Health Records (EHRs) has mostly
focused on health conditions (diseases and drugs). Function is an important health indicator …

Automated coding of under-studied medical concept domains: linking physical activity reports to the International Classification of Functioning, Disability, and Health

D Newman-Griffis, E Fosler-Lussier - Frontiers in digital health, 2021 - frontiersin.org
Linking clinical narratives to standardized vocabularies and coding systems is a key
component of unlocking the information in medical text for analysis. However, many …

[HTML][HTML] Characterizing functional health status of surgical patients in clinical notes

SJ Skube, EA Lindemann, EG Arsoniadis… - AMIA Summits on …, 2018 - ncbi.nlm.nih.gov
Functional health status is an important factor not only for determining overall health, but
also for measuring risks of adverse events. Our hypothesis is that important functional status …

Broadening horizons: the case for capturing function and the role of health informatics in its use

D Newman-Griffis, J Porcino, A Zirikly, T Thieu… - BMC Public Health, 2019 - Springer
Background Human activity and the interaction between health conditions and activity is a
critical part of understanding the overall function of individuals. The World Health …

Leveraging deep active learning to identify low-resource mobility functioning information in public clinical notes

TD Le, Z Miao, S Alvarado, B Smith, W Paiva… - arXiv preprint arXiv …, 2023 - arxiv.org
Function is increasingly recognized as an important indicator of whole-person health,
although it receives little attention in clinical natural language processing research. We …

Classifying the reported ability in clinical mobility descriptions

D Newman-Griffis, A Zirikly, G Divita… - arXiv preprint arXiv …, 2019 - arxiv.org
Assessing how individuals perform different activities is key information for modeling health
states of individuals and populations. Descriptions of activity performance in clinical free text …